1
|
Chen WK, Li JP, Zhang FB, Liang ZY, Li LJ, Wu JG. Re-assessment of the close relationship between serum FSH levels and semen quality: a retrospective cohort study of 11,929 Chinese men. Endocrine 2024; 84:265-272. [PMID: 38017256 DOI: 10.1007/s12020-023-03617-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 11/15/2023] [Indexed: 11/30/2023]
Abstract
PURPOSE To establish a medically valuable normal reference interval of follicle-stimulating hormone (FSH) levels in males with normal semen and to assess the predictive value of FSH in males exhibiting semen abnormalities. METHODS The study involved male patients who underwent their initial serum sex hormone test and semen test between October 2013 and June 2023. The reference interval was identified as the 95% confidence interval (CI) of FSH values in the patients with normal semen parameters. Then, in the total study population, receiver operating characteristic (ROC) curves were performed to evaluate the discriminatory ability of FSH for oligozoospermia and non-obstructive azoospermia (NOA). Besides, multivariable logistic regression was performed to investigate the association of FSH with oligozoospermia and NOA adjusted by age. RESULTS A total of 11,929 patients were finally enrolled in the study. The normal reference interval of FSH ranged from 1.70 IU/L to 7.60 IU/L (median: 3.98 IU/L) based on 4595 patients with normal semen routine parameters. In the total patients, ROC curves showed FSH to have a "fair" discriminatory ability for oligozoospermia (area under receiver operating characteristic curve (AUC) 0.747, threshold 7.32 IU/L, accuracy 0.734, positive predictive value (PPV) 0.754, negative predictive value (NPV) 0.726), while ROC curves showed FSH to have a "excellent" discriminatory ability for NOA (AUC: 0.921, threshold 10.18 IU/L, accuracy 0.903, PPV 0.593, NPV 0.972). Besides, multivariable logistic regression showed that FSH ≥ 7.32 IU/L was associated with a 8.51-fold increase in the risk of oligozoospermia adjusted by age, while FSH ≥ 10.18 IU/L was associated with a 38.93-fold increase in the risk of NOA. CONCLUSIONS Our findings indicated that the reference interval for FSH in males with normal semen was 1.70-7.60 IU/L and found that FSH was capable of effectively discerning oligospermia and NOA.
Collapse
Affiliation(s)
- Wei-Kang Chen
- Department of Reproductive Endocrinology, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Jing-Ping Li
- Department of Reproductive Endocrinology, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
| | - Feng-Bin Zhang
- Department of Reproductive Endocrinology, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Zhong-Yan Liang
- Department of Reproductive Endocrinology, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Le-Jun Li
- Department of Reproductive Endocrinology, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Jing-Gen Wu
- Department of Reproductive Endocrinology, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| |
Collapse
|
2
|
Bai T, Chen Y, Beck S, Stanelle-Bertram S, Mounogou NK, Chen T, Dong J, Schneider B, Jia T, Yang J, Wang L, Meinhardt A, Zapf A, Kreienbrock L, Wang D, Shu Y, Gabriel G. H7N9 avian influenza virus infection in men is associated with testosterone depletion. Nat Commun 2022; 13:6936. [PMID: 36376288 PMCID: PMC9662777 DOI: 10.1038/s41467-022-34500-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Accepted: 10/27/2022] [Indexed: 11/16/2022] Open
Abstract
Human infections with H7N9 avian influenza A virus that emerged in East China in 2013 and caused high morbidity rates were more frequently detected in men than in women over the last five epidemic waves. However, molecular markers associated with poor disease outcomes in men are still unknown. In this study, we systematically analysed sex hormone and cytokine levels in males and females with laboratory-confirmed H7N9 influenza in comparison to H7N9-negative control groups as well as laboratory-confirmed seasonal H1N1/H3N2 influenza cases (n = 369). Multivariable analyses reveal that H7N9-infected men present with considerably reduced testosterone levels associated with a poor outcome compared to non-infected controls. Regression analyses reveal that testosterone levels in H7N9-infected men are negatively associated with the levels of several pro-inflammatory cytokines, such as IL-6 and IL-15. To assess whether there is a causal relationship between low testosterone levels and avian H7N9 influenza infection, we used a mouse model. In male mice, we show that respiratory H7N9 infection leads to a high viral load and inflammatory cytokine response in the testes as well as a reduction in pre-infection plasma testosterone levels. Collectively, these findings suggest that monitoring sex hormone levels may support individualized management for patients with avian influenza infections.
Collapse
Affiliation(s)
- Tian Bai
- Viral Zoonoses-One Health, Leibniz Institute for Virology (LIV), Hamburg, Germany ,grid.198530.60000 0000 8803 2373Chinese National Influenza Center, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206 P.R. China
| | - Yongkun Chen
- grid.12981.330000 0001 2360 039XSchool of Public Health (Shenzhen), Sun Yat-sen University, Guangdong, 510275 P.R. China ,grid.12981.330000 0001 2360 039XSchool of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107 P.R. China
| | - Sebastian Beck
- Viral Zoonoses-One Health, Leibniz Institute for Virology (LIV), Hamburg, Germany
| | | | | | - Tao Chen
- grid.198530.60000 0000 8803 2373Chinese National Influenza Center, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206 P.R. China
| | - Jie Dong
- grid.198530.60000 0000 8803 2373Chinese National Influenza Center, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206 P.R. China
| | - Bettina Schneider
- grid.412970.90000 0001 0126 6191Department of Biometry, Epidemiology and Information Processing, University of Veterinary Medicine Hannover, Hannover, Germany
| | - Tingting Jia
- grid.12981.330000 0001 2360 039XSchool of Public Health (Shenzhen), Sun Yat-sen University, Guangdong, 510275 P.R. China ,grid.12981.330000 0001 2360 039XSchool of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107 P.R. China
| | - Jing Yang
- grid.198530.60000 0000 8803 2373Chinese National Influenza Center, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206 P.R. China
| | - Lijie Wang
- grid.198530.60000 0000 8803 2373Chinese National Influenza Center, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206 P.R. China
| | - Andreas Meinhardt
- grid.8664.c0000 0001 2165 8627Institute for Anatomy and Cell Biology, Justus-Liebig University of Gießen, Gießen, Germany
| | - Antonia Zapf
- grid.13648.380000 0001 2180 3484Institute for Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Lothar Kreienbrock
- grid.412970.90000 0001 0126 6191Department of Biometry, Epidemiology and Information Processing, University of Veterinary Medicine Hannover, Hannover, Germany
| | - Dayan Wang
- grid.198530.60000 0000 8803 2373Chinese National Influenza Center, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206 P.R. China
| | - Yuelong Shu
- grid.198530.60000 0000 8803 2373Chinese National Influenza Center, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206 P.R. China ,grid.12981.330000 0001 2360 039XSchool of Public Health (Shenzhen), Sun Yat-sen University, Guangdong, 510275 P.R. China ,grid.12981.330000 0001 2360 039XSchool of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107 P.R. China ,grid.506261.60000 0001 0706 7839Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Gülsah Gabriel
- Viral Zoonoses-One Health, Leibniz Institute for Virology (LIV), Hamburg, Germany ,grid.412970.90000 0001 0126 6191Institute of Virology, University of Veterinary Medicine, Hannover, Germany
| |
Collapse
|
3
|
Reference intervals of the sex hormonal profile in healthy women: A retrospective single-center study in Peru. Heliyon 2022; 8:e10592. [PMID: 36119895 PMCID: PMC9475304 DOI: 10.1016/j.heliyon.2022.e10592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 01/22/2022] [Accepted: 09/05/2022] [Indexed: 11/23/2022] Open
Abstract
The female hormonal profile is of utmost importance for the assessment of the endocrinological functional status and the diagnosis of diseases. The analysis must delimit their normality intervals based on the manufacturer's cut-off points. Due to not all intervals can be evaluated before use, it is imperative to verify the reference intervals to achieve uniformity in the interpretation of results in the female population. We determine the reference intervals of five female sex hormones [Follicle Stimulating hormone (FSH), Estradiol, Luteinizing Hormone (LH), Prolactin, and progesterone] using electrochemiluminescence in the Cobas e411 (Roche). We included female patients >18 years old, between the 3rd and 15th day of the menstrual cycle (follicular phase) and had no previous medical history or recent medication. For reference intervals analysis, we followed the recommendations of the CLSI C28-A3 guideline. The average concentration for FSH, progesterone, LH, prolactin and estradiol were 11.48 ± 21.10 mIU/ml, 8.19 ± 11.90 ng/ml, 10.98 ± 11.55 ng/ml, 25.05 ± 32.74 ng/mL, and 147.08 ± 473.8 pmol/mL, respectively. Eighty per cent of parameters showed a satisfactory transfer for the manufacturer's reference intervals, except for estradiol, which had 85.5% of transferred values. Our results suggest that 4/5 sex hormones were found within the manufacturer's reference intervals and can be quantified in Peruvian women, ensuring the quality of their results. However, it is necessary to determine the estradiol with other reagents and assays since we show errors in the transfer of intervals.
Collapse
|
4
|
Wang Y. Definition, Prevalence, and Risk Factors of Low Sex Hormone-Binding Globulin in US Adults. J Clin Endocrinol Metab 2021; 106:e3946-e3956. [PMID: 34125885 PMCID: PMC8571812 DOI: 10.1210/clinem/dgab416] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Indexed: 11/25/2022]
Abstract
CONTEXT Lower sex hormone-binding globulin (SHBG) is associated with many diseases including cardiovascular disease, cancer, polycystic ovarian syndrome, arthritis, and liver disease. However, the definition of low SHBG and its prevalence in US adults are unknown. OBJECTIVE To define low SHBG and to determine its prevalence and risk factors in US adults. DESIGN, SETTING, AND PARTICIPANTS This cohort study included adults ≥20 years from the US National Health and Nutrition Examination Survey (NHANES) from 2013 to 2016 who had fasting serum SHBG. EXPOSURES NHANES coverage during 2013-2016. MAIN OUTCOMES MEASURES Definition, prevalence, and risk factors of low SHBG. RESULTS This study included 4093 adults (weighted sample size of 204 789 616) with a mean (SD) age of 47.5 (17.0) years. In a "healthy" reference sub-cohort of 1477 adults, low SHBG was defined as SHBG < 12.3 nmol/L in men < 50 years, <23.5 nmol/L in men ≥ 50 years, <14.5 nmol/L in women < 30 years, and <21.9 nmol/L in women ≥ 30 years. The estimated US national prevalence of low SHBG was 3.3% in men, 2.7% in women, and 3.0% overall. Risk factors for this condition in both men and women included higher body mass index, diabetes, ethnicity (being other than Hispanic, non-Hispanic black, or non-Hispanic white), chronic obstructive pulmonary disease, coronary heart disease, and smoking. CONCLUSIONS This study established the criteria for low SHBG among US adults. The estimated US national prevalence of low SHBG was 3.3% in men and 2.7% in women.
Collapse
Affiliation(s)
- Yutang Wang
- School of Science, Psychology and Sport, Federation University Australia, Ballarat, VIC, Australia
- Correspondence: Yutang Wang, PhD, Discipline of Life Sciences, School of Science, Psychology and Sport, Federation University Australia, Ballarat, VIC, 3350, Australia.
| |
Collapse
|
5
|
Zhu Z, Chen Y, Ren J, Dawsey SM, Yin J, Freedman ND, Fan JH, Taylor PR, Liu Y, Qiao YL, Abnet CC. Serum Levels of Androgens, Estrogens, and Sex Hormone Binding Globulin and Risk of Primary Gastric Cancer in Chinese Men: A Nested Case-Control Study. Cancer Prev Res (Phila) 2021; 14:659-666. [PMID: 33766833 PMCID: PMC8225565 DOI: 10.1158/1940-6207.capr-20-0497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Revised: 02/20/2021] [Accepted: 03/22/2021] [Indexed: 12/24/2022]
Abstract
Gastric cancer shows a strong male predominance, and sex steroid hormones have been hypothesized to explain this sex disparity. Previous studies examining the associations between sex hormones and sex hormone binding globulin (SHBG) and risk of gastric cancer come primarily from western populations and additional studies in diverse populations will help us better understand the association. We performed a nested case-control study in Linxian Nutrition Intervention Trials cohorts to evaluate the associations among Chinese men, where we had sufficient cases to perform a well-powered study. Using radioimmunoassays and immunoassays, we quantitated androgens, estrogens, and SHBG in baseline serum from 328 men that developed noncardia gastric cancer and matched controls. We used multivariable unconditional logistic regression to calculate ORs and 95% confidence intervals (CI) and explored interactions with body mass index (BMI), age, alcohol drinking, smoking, and follow-up time. Subjects with SHBG in the highest quartile, as compared with those in the lowest quartile, had a significantly increased risk of gastric cancer (OR = 1.87; 95% CI, 1.01-3.44). We found some evidence for associations of sex steroid hormones in men with lower BMI. Our study found a novel association suggesting that higher serum concentrations of SHBG may be associated with risk of gastric cancer in men. We found no overall associations with sex hormones themselves, but future studies should expand the scope of these studies to include women and further explore whether BMI modifies a potential association. PREVENTION RELEVANCE: It was the first study to investigate the association of gastric cancer with prediagnostic sex steroid hormones and SHBG in an Asian male population. Although there were no overall associations for sex steroid hormone concentrations, higher concentrations of SHBG was associated with increased risk of noncardia gastric cancer.
Collapse
Affiliation(s)
- Zhikai Zhu
- Department of Cancer Epidemiology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Yingxi Chen
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Jiansong Ren
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Sanford M Dawsey
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Jian Yin
- Department of Cancer Epidemiology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Neal D Freedman
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Jin-Hu Fan
- Department of Cancer Epidemiology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Philip R Taylor
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Yuanli Liu
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
| | - You-Lin Qiao
- Department of Cancer Epidemiology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
| | - Christian C Abnet
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| |
Collapse
|
6
|
Tahmasebi H, Asgari S, Hall A, Higgins V, Chowdhury A, Thompson R, Bohn MK, Macri J, Adeli K. Influence of ethnicity on biochemical markers of health and disease in the CALIPER cohort of healthy children and adolescents. Clin Chem Lab Med 2021; 58:605-617. [PMID: 31874092 DOI: 10.1515/cclm-2019-0876] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2019] [Accepted: 11/15/2019] [Indexed: 12/15/2022]
Abstract
Background Accurate pediatric reference intervals (RIs) for laboratory tests determined in a healthy pediatric population are essential for correct laboratory test interpretation and clinical decision-making. In pediatrics, RIs require partitioning by age and/or sex; however, the need for partitioning based on ethnicity is unclear. Here, we assessed the influence of ethnicity on biomarker concentrations in the Canadian Laboratory Initiative on Pediatric Reference Intervals (CALIPER) cohort of healthy children and adolescents and compared the results with the National Health and Nutrition Examination Survey (NHANES). Methods A total of 52 biomarkers were measured in a multiethnic population of 846-1179 healthy children (aged 5 to <19 years) upon informed consent. Biomarker concentrations were retrospectively compared between four major ethnic groups (i.e. Black, Caucasian, East Asian, and South Asian, determined by parental ethnicity). Retrospective results were verified prospectively using an additional 500 healthy pediatric samples with equal sample size across ethnicities. Ethnic-specific differences were assessed based on statistical significance and biological and analytical variations. Appropriate age-, sex-, and ethnic-specific RIs were calculated. Results Ethnic-specific differences were not observed for 34 biomarkers examined in the retrospective analysis, while 18 demonstrated statistically significant ethnic differences. Among these, seven analytes demonstrated ethnic-specific differences in the prospective analysis: vitamin D, amylase, ferritin, follicle-stimulating hormone (FSH), immunoglobulin A (IgA), immunoglobulin G (IgG), and immunoglobulin M (IgM). Analysis of select NHANES data confirmed CALIPER findings. Conclusions This is the first comprehensive Canadian pediatric study examining ethnic-specific differences in common biomarkers. While the majority of biomarkers did not require ethnic partitioning, ethnic-specific RIs were established for seven biomarkers showing marked differences. Further studies in other populations are needed to confirm our findings.
Collapse
Affiliation(s)
- Houman Tahmasebi
- CALIPER Program, Department of Pediatric Laboratory Medicine, The Hospital for Sick Children, Toronto, Canada
- Department of Laboratory Medicine and Pathobiology, Faculty of Medicine, University of Toronto, Toronto, Canada
| | - Shervin Asgari
- CALIPER Program, Department of Pediatric Laboratory Medicine, The Hospital for Sick Children, Toronto, Canada
| | - Alexandra Hall
- CALIPER Program, Department of Pediatric Laboratory Medicine, The Hospital for Sick Children, Toronto, Canada
| | - Victoria Higgins
- CALIPER Program, Department of Pediatric Laboratory Medicine, The Hospital for Sick Children, Toronto, Canada
- Department of Laboratory Medicine and Pathobiology, Faculty of Medicine, University of Toronto, Toronto, Canada
| | - Ashfia Chowdhury
- CALIPER Program, Department of Pediatric Laboratory Medicine, The Hospital for Sick Children, Toronto, Canada
| | - Rebecca Thompson
- CALIPER Program, Department of Pediatric Laboratory Medicine, The Hospital for Sick Children, Toronto, Canada
| | - Mary Kathryn Bohn
- CALIPER Program, Department of Pediatric Laboratory Medicine, The Hospital for Sick Children, Toronto, Canada
- Department of Laboratory Medicine and Pathobiology, Faculty of Medicine, University of Toronto, Toronto, Canada
| | - Joseph Macri
- Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Canada
| | - Khosrow Adeli
- CALIPER Program, Clinical Biochemistry, Department of Pediatric Laboratory Medicine, The Hospital for Sick Children, 555 University Avenue, Toronto, ON, M5G 1X8, Canada
- Department of Laboratory Medicine and Pathobiology, Faculty of Medicine, University of Toronto, Toronto, Canada, Phone: +(416)-813-8682
| |
Collapse
|
7
|
Zhao JV, Schooling CM. Sex-specific Associations of Sex Hormone Binding Globulin with CKD and Kidney Function: A Univariable and Multivariable Mendelian Randomization Study in the UK Biobank. J Am Soc Nephrol 2021; 32:686-694. [PMID: 33318152 PMCID: PMC7920164 DOI: 10.1681/asn.2020050659] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Accepted: 10/15/2020] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND Kidney function declines faster in men. Testosterone levels may mediate the sex disparity. Correspondingly, levels of sex hormone binding globulin (SHBG), which modulates sex hormones, might also be relevant to the lower kidney function in men. The sex-specific role of SHBG is unclear. METHODS A sex-specific, Mendelian randomization (MR) study provided unconfounded estimates of SHBG levels among the United Kingdom Biobank population. Univariable MR applied 357 single nucleotide polymorphisms (SNPs) in men and 359 SNPs in women. These published SNPs strongly (P<5×10-8) predict SHBG level. They were profiled in 179,916 white British men (6016 patients with CKD) and 212,079 white British women (5958 patients with CKD), to obtain the effect of SHBG on CKD, albuminuria, and eGFR. Multivariable MR controlling for testosterone was used to assess the effect of SHBG on CKD and kidney function independent of testosterone in men. RESULTS Genetically predicted higher SHBG was associated with a lower risk of CKD in men (odds ratio [OR], 0.78 per SD; 95% confidence interval [95% CI], 0.65 to 0.93) but had no benefit in women. The effect in men remained in multivariable MR, allowing for testosterone (OR, 0.61; 95% CI, 0.45 to 0.82). CONCLUSIONS Genetically predicted higher SHBG was associated with a lower risk of CKD and better kidney function in men, but not in women, suggesting that SHBG may play a role in CKD specifically in men. Identifying drivers of SHBG and the underlying pathways could provide new insights into CKD prevention and treatment.
Collapse
Affiliation(s)
- Jie V. Zhao
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - C. Mary Schooling
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China,City University of New York, School of Public Health and Health Policy, New York, New York
| |
Collapse
|
8
|
Sources of variation and establishment of Russian reference intervals for major hormones and tumor markers. PLoS One 2021; 16:e0234284. [PMID: 33411740 PMCID: PMC7790266 DOI: 10.1371/journal.pone.0234284] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Accepted: 11/16/2020] [Indexed: 11/19/2022] Open
Abstract
OBJECTIVES A multicenter study was organized to explore sources of variation (SVs) of reference values (RVs) for 22 major immunochemistry analytes and to determine reference intervals (RIs) for the Russian population. METHODS According to IFCC Committee on Reference Intervals and Decision Limits (C-RIDL) protocol, 758 healthy volunteers were recruited in St. Petersburg, Moscow, and Yekaterinburg. Serum samples were tested for five tumor markers, 17 hormones and related tests by Beckman Coulter's UniCel DxI 800 immunochemistry analyzer. SVs were explored using multiple regression analysis and ANOVA. Standard deviation ratio (SDR) of 0.4 was used as primary guide for partitioning RIs by gender and age. RESULTS SDR for between-city difference was <0.4 for all analytes. Secondary exclusion of individuals was done under the following conditions: for female sex-hormones, those with contraceptives (8%); for CA19-9, those supposed to have negative Lewis blood-group (10.5% males and 11.3% females); for insulin, those with BMI≥28 kg/m2 (31%); for the thyroid panel, those with anti-thyroid antibodies (10.3% males; 24.5% females), for CEA those with smoking habit (30% males and 16% females). Gender-specific RIs were required for all analytes except CA19-9, CA15-3, thyroid-related tests, parathyroid hormone, and insulin. Age-specific RIs were required for alpha-fetoprotein, CEA, all sex-hormones for females, FSH and progesterone for both sexes. RIs were generally derived by parametric method after Gaussian transformation using modified Box-Cox formula. Exceptions were growth hormone, estradiol for females in postmenopause, and progesterone for females in premenopause, for which nonparametric method was required due to bimodal distribution and/or insufficient detection limit. CONCLUSION RIs for major hormones and tumor markers specific for the Russian population were derived based on the up-to-date internationally harmonized protocol by careful consideration of analyte-specific SVs.
Collapse
|
9
|
Ma C, Xia L, Cheng X, Wu J, Yin Y, Hou L, Li X, Guo X, Lin S, Qiu L. Establishment of variation source and age-related reference interval models for 22 common biochemical analytes in older people using real-world big data mining. Age Ageing 2020; 49:1062-1070. [PMID: 32638996 DOI: 10.1093/ageing/afaa096] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2020] [Revised: 04/01/2020] [Accepted: 04/05/2020] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND the ageing population has increased in many countries, including China. However, reference intervals (RIs) for older people are rarely established because of difficulties in selecting reference individuals. Here, we aimed to analyse the factors affecting biochemical analytes and establish RI and age-related RI models for biochemical analytes through mining real-world big data. METHODS data for 97,220 individuals downloaded from electronic health records were included. Three derived databases were established. The first database included 97,220 individuals and was used to build age-related RI models after identifying outliers by the Tukey method. The second database consisted of older people and was used to establish variation source models and RIs for biochemical analytes. Differences between older and younger people were compared using the third database. RESULTS sex was the main source of variation of biochemical analytes for older people in the variation source models. The distributions of creatinine and uric acid were significantly different in the RIs of biochemical analytes for older people established according to sex. Age-related RI models for biochemical analytes that were most affected by age were built and visualized, revealing various patterns of changes from the younger to older people. CONCLUSION the study analysed the factors affecting biochemical analytes in older people. Moreover, RI and age-related RI models of biochemical analytes for older people were established to provide important insight into biological processes and to assist clinical use of various biochemical analytes to monitor the status of various diseases for older people.
Collapse
Affiliation(s)
- Chaochao Ma
- Department of Laboratory Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Science, Beijing 100730, China
| | - Liangyu Xia
- Department of Laboratory Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Science, Beijing 100730, China
| | - Xinqi Cheng
- Department of Laboratory Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Science, Beijing 100730, China
| | - Jie Wu
- Department of Laboratory Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Science, Beijing 100730, China
| | - Yicong Yin
- Department of Laboratory Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Science, Beijing 100730, China
| | - Lian Hou
- Department of Laboratory Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Science, Beijing 100730, China
| | - Xiaoqi Li
- Department of Laboratory Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Science, Beijing 100730, China
| | - Xiuzhi Guo
- Department of Laboratory Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Science, Beijing 100730, China
| | - Songbai Lin
- Department of Health Care, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Ling Qiu
- Department of Laboratory Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Science, Beijing 100730, China
| |
Collapse
|
10
|
Jing Y, Wang X, Yu J, Wang X, Zhou Y, Tao B, Sun L, Liu J, Zhao H. Follicle-stimulating hormone and estradiol are associated with bone mineral density and risk of fractures in men with type 2 diabetes mellitus. J Diabetes 2020; 12:426-437. [PMID: 31778286 DOI: 10.1111/1753-0407.13011] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2019] [Revised: 11/20/2019] [Accepted: 11/25/2019] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Type 2 diabetes mellitus (T2DM) is associated with a higher fracture risk. Sex hormones are important for maintaining skeletal health. It is not clear which sex hormone(s) contribute(s) to bone mineral density (BMD) and fracture risk in males with T2DM. This study investigated the relationships of these parameters in males with T2DM. METHODS This study involved 482 men with T2DM. BMDs at the lumbar spine (L2-4), femoral neck (FN), and total hip (TH) were measured by dual-energy X-ray absorptiometry (DXA). The 10-year probability of fractures was assessed using the modified Fracture Risk Algorithm (FRAX) tool. Serum levels of sex hormones were measured. RESULTS Follicle-stimulating hormone (FSH) and estradiol (E2) were associated with BMDs at L2-4 (FSH, β = -.162, P < .05; E2, β = .176, P < .001), and E2 was associated with BMD at FN (β = .137, P < .05) and TH (β = .140, P < .05). FSH was associated with major osteoporotic fractures (β = .288, P < .001) and hip fractures (β = .235, P < .001). Higher FSH was a risk factor for osteoporosis/osteopenia (odds ratios [OR] = 2.92, 95% CI = 1.66-5.14, P < .001), whereas higher E2 was a protective factor (OR = 0.37, 95% CI = 0.22-0.60, P < .001). Patients in the higher tertile of FSH and lower tertile of E2 had an increased risk of osteoporosis/osteopenia (OR = 5.05, 95% CI = 1.37-18.65, P < .05). CONCLUSIONS For males with T2DM, FSH and E2 are significantly associated with BMD, osteoporosis/osteopenia, and fracture risk.
Collapse
Affiliation(s)
- Yixuan Jing
- Department of Endocrine and Metabolic Diseases, Rui-jin Hospital, Shanghai Jiao-tong University School of Medicine, Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai Clinical Center for Endocrine and Metabolic Diseases, Shanghai, China
| | - Xiaofeng Wang
- Tong-ren Hospital, Shanghai Jiao-tong University School of Medicine, Shanghai, China
| | - Jingjia Yu
- Department of Endocrine and Metabolic Diseases, Rui-jin Hospital, Shanghai Jiao-tong University School of Medicine, Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai Clinical Center for Endocrine and Metabolic Diseases, Shanghai, China
| | - Xiaojing Wang
- Department of Endocrine and Metabolic Diseases, Rui-jin Hospital, Shanghai Jiao-tong University School of Medicine, Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai Clinical Center for Endocrine and Metabolic Diseases, Shanghai, China
| | - Yanman Zhou
- Department of Endocrine and Metabolic Diseases, Rui-jin Hospital, Shanghai Jiao-tong University School of Medicine, Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai Clinical Center for Endocrine and Metabolic Diseases, Shanghai, China
| | - Bei Tao
- Department of Endocrine and Metabolic Diseases, Rui-jin Hospital, Shanghai Jiao-tong University School of Medicine, Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai Clinical Center for Endocrine and Metabolic Diseases, Shanghai, China
| | - Lihao Sun
- Department of Endocrine and Metabolic Diseases, Rui-jin Hospital, Shanghai Jiao-tong University School of Medicine, Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai Clinical Center for Endocrine and Metabolic Diseases, Shanghai, China
| | - Jianmin Liu
- Department of Endocrine and Metabolic Diseases, Rui-jin Hospital, Shanghai Jiao-tong University School of Medicine, Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai Clinical Center for Endocrine and Metabolic Diseases, Shanghai, China
| | - Hongyan Zhao
- Department of Endocrine and Metabolic Diseases, Rui-jin Hospital, Shanghai Jiao-tong University School of Medicine, Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai Clinical Center for Endocrine and Metabolic Diseases, Shanghai, China
| |
Collapse
|
11
|
Yu S, Wang D, Cheng X, Zhang Q, Wang M, Guo H, Yu B, Zhang X, Xia L, Sun D, Cheng Q, Li P, Yin Y, Ma C, Hou L, Zou Y, Li H, Li D, Qiu L, Ichihara K. Establishing reference intervals for urine and serum iodine levels: A nationwide multicenter study of a euthyroid Chinese population. Clin Chim Acta 2019; 502:34-40. [PMID: 31846617 DOI: 10.1016/j.cca.2019.11.038] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2019] [Revised: 11/13/2019] [Accepted: 11/29/2019] [Indexed: 02/07/2023]
Abstract
CONTEXT Urinary iodine (UI) is commonly used for evaluating iodine status, whereas serum iodine (SI) is more closely correlated with bioavailable iodine. However, no reliable reference intervals (RIs) for clinical use are available. We aimed to establish RIs for SI, UI, and a ratio of UI to urinary creatinine (U-Cre) applicable to the Chinese population. METHODS This multicenter cross-sectional study enrolled 930 apparently healthy adults from six representative cities in China (Beijing, Dongying, Guiyang, Urumqi, Shenzhen, and Qiqihar) in 2017. Thyroid ultrasonography and thyroid function tests, including antithyroid antibody tests, were performed to exclude individuals with latent thyroid diseases. An iodine intake-related questionnaire survey was performed. SI and UI were measured using inductively coupled plasma-mass spectrometry. Possible influencing factors of iodine levels were evaluated using multiple regression analysis. RESULTS Post-exclusion, the final analysis included 894 individuals. Seafood intake frequency was positively correlated with SI (standardized partial regression coefficient = 0.23) but not with UI and UI/U-Cre. SI was positively correlated with serum TT4 (Spearman correlation coefficient: 0.40), TT3 (0.23), and FT4 (0.18). SI and UI showed no age- or sex-specific variations. Significantly higher UI/U-Cre values were observed in Qiqihar than in Beijing, Guizhou, and Shenzhen. Shenzhen showed the lowest UI levels among all evaluated cities. With application of latent abnormal values exclusion procedurere, the RIs for SI, UI, and UI/U-Cre in the population were 36.0-79.3 μg/L, 19-385 μg/L, 22-450 μg/g, respectively. CONCLUSIONS We established RIs for UI and SI among healthy Chinese individuals with no thyroid nodule or dysfunction.
Collapse
Affiliation(s)
- Songlin Yu
- Department of Clinical Laboratory, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Danchen Wang
- Department of Clinical Laboratory, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Xinqi Cheng
- Department of Clinical Laboratory, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Qiong Zhang
- Laboratory Medicine Diagnostic Center, The First Affiliated Hospital, Xin Jiang Medical University, Xinjiang 830011, China
| | - Mingxue Wang
- Zunyi Medical University, Clinical Laboratory of Guizhou Provincial People's Hospital, Guizhou 550002, China
| | - Haipeng Guo
- Department of Clinical Laboratory, The First Hospital of Qiqihaer City, Qiqihaer, Heilongjiang 161005, China
| | - Benzhang Yu
- Department of Clinical Laboratory, Shengli Oilfield Central Hospital, Dongying, Shandong 257034, China
| | - Xiuming Zhang
- Medical Laboratory of Shen Zhen LuoHu People's Hospital, Shenzhen 518001, China
| | - Liangyu Xia
- Department of Clinical Laboratory, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Dandan Sun
- Department of Clinical Laboratory, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Qian Cheng
- Department of Clinical Laboratory, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Pengchang Li
- Department of Clinical Laboratory, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Yicong Yin
- Department of Clinical Laboratory, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Chaochao Ma
- Department of Clinical Laboratory, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Li'an Hou
- Department of Clinical Laboratory, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Yutong Zou
- Department of Clinical Laboratory, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Honglei Li
- Department of Clinical Laboratory, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Dandan Li
- Department of Clinical Laboratory, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Ling Qiu
- Department of Clinical Laboratory, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 100730, China.
| | - Kiyoshi Ichihara
- Faculty of Health Sciences, Yamaguchi University Graduate School of Medicine, Ube, Japan.
| |
Collapse
|
12
|
Williams AL, Gollapudi B, Pace ND, DeSesso JM. Comment on "Concentrations of vanadium in urine and seminal plasma in relation to semen quality parameters, spermatozoa DNA damage and serum hormone levels," by Wang et al. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 685:772-774. [PMID: 31234139 DOI: 10.1016/j.scitotenv.2019.06.101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2019] [Accepted: 06/06/2019] [Indexed: 06/09/2023]
Affiliation(s)
- Amy L Williams
- Exponent, Inc., 1800 Diagonal Road, Suite 500, Alexandria, VA 22314, United States of America.
| | - Bhaskar Gollapudi
- Exponent, Inc., 1800 Diagonal Road, Suite 500, Alexandria, VA 22314, United States of America
| | - Nelson D Pace
- Exponent, Inc., 475 14th Street, Suite 400, Oakland, CA 94612, United States of America
| | - John M DeSesso
- Exponent, Inc., 1800 Diagonal Road, Suite 500, Alexandria, VA 22314, United States of America; Georgetown University School of Medicine, 3900 Reservoir Road NW, Washington, DC 20057, United States of America
| |
Collapse
|